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Record W2074639565 · doi:10.1073/pnas.1116455109

Composite low affinity interactions dictate recognition of the cyclin-dependent kinase inhibitor Sic1 by the SCF <sup>Cdc4</sup> ubiquitin ligase

2012· article· en· W2074639565 on OpenAlexafffund
Xiaojing Tang, Stephen Orlicky, Tanja Mittag, Veronika Csizmók, Tony Pawson, Julie D. Forman‐Kay, Frank Sicheri, Mike Tyers

Bibliographic record

VenueProceedings of the National Academy of Sciences · 2012
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicUbiquitin and proteasome pathways
Canadian institutionsInstitute for Research in Immunology and CancerUniversity of TorontoHospital for Sick ChildrenUniversité de MontréalLunenfeld-Tanenbaum Research Institute
FundersCanadian Cancer Society Research InstituteCanadian Institutes of Health ResearchTerry Fox FoundationCanada Research ChairsWellcome Trust
KeywordsUbiquitin ligaseCell division control protein 4PhosphorylationBiologyCyclin-dependent kinaseCell biologyBiochemistryUbiquitinBiophysicsCell cycle

Abstract

fetched live from OpenAlex

The ubiquitin ligase SCF(Cdc4) (Skp1/Cul1/F-box protein) recognizes its substrate, the cyclin-dependent kinase inhibitor Sic1, in a multisite phosphorylation-dependent manner. Although short diphosphorylated peptides derived from Sic1 can bind to Cdc4 with high affinity, through systematic mutagenesis and quantitative biophysical analysis we show that individually weak, dispersed Sic1 phospho sites engage Cdc4 in a dynamic equilibrium. The affinities of individual phosphoepitopes serve to tune the overall phosphorylation site threshold needed for efficient recognition. Notably, phosphoepitope affinity for Cdc4 is dramatically weakened in the context of full-length Sic1, demonstrating the importance of regional environment on binding interactions. The multisite nature of the Sic1-Cdc4 interaction confers cooperative dependence on kinase activity for Sic1 recognition and ubiquitination under equilibrium reaction conditions. Composite dynamic interactions of low affinity sites may be a general mechanism to establish phosphorylation thresholds in biological responses.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.280

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.033
GPT teacher head0.287
Teacher spread0.254 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations58
Published2012
Admission routes2
Has abstractyes

Explore more

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